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Landmark annotation and mandibular lateral deviation analysis of posteroanterior cephalograms using a convolutional neural network
BACKGROUND/PURPOSE: Facial asymmetry is relatively common in the general population. Here, we propose a fully automated annotation system that supports analysis of mandibular deviation and detection of facial asymmetry in posteroanterior (PA) cephalograms by means of a deep learning-based convolutio...
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| Publicado no: | J Dent Sci |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Association for Dental Sciences of the Republic of China
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8189930/ https://ncbi.nlm.nih.gov/pubmed/34141110 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jds.2020.10.012 |
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